Version19ASAP_FineTuningBERT_AugV19_k10_task1_organization_k10_k10_fold4

genki10/Version19ASAP_FineTuningBERT_AugV19_k10_task1_organization_k10_k10_fold4

Version19ASAP_FineTuningBERT_AugV19_k10_task1_organization_k10_k10_fold4 is a text classification model from genki10. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.

should probably proofread and complete it, then remove this comment. --

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At a glance

Task: Text Classification
Library: transformers
License: apache-2.0
Model type: bert
Access: Public
Created: Mar 9, 2025
Updated: Mar 9, 2025
SHA: 33b7bcee

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Base models

Model card

From the Hugging Face model README

Version19ASAP_FineTuningBERT_AugV19_k10_task1_organization_k10_k10_fold4

This model is a fine-tuned version of bert-base-uncased on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.7679
Qwk: 0.6463
Mse: 0.7679
Rmse: 0.8763

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 2e-05
train_batch_size: 64
eval_batch_size: 64
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 100

Training results

Training Loss	Epoch	Step	Validation Loss	Qwk	Mse	Rmse
No log	1.0	3	10.3078	0.0138	10.3078	3.2106
No log	2.0	6	6.9331	0.0018	6.9331	2.6331
No log	3.0	9	4.4903	0.0118	4.4903	2.1190
No log	4.0	12	3.0955	0.0040	3.0955	1.7594
No log	5.0	15	2.2399	0.0857	2.2399	1.4966
No log	6.0	18	1.5710	0.0316	1.5710	1.2534
No log	7.0	21	1.2256	0.0212	1.2256	1.1071
No log	8.0	24	0.9380	0.0297	0.9380	0.9685
No log	9.0	27	0.8633	0.0643	0.8633	0.9291
No log	10.0	30	0.9226	0.0454	0.9226	0.9605
No log	11.0	33	1.0431	0.0303	1.0431	1.0213
No log	12.0	36	1.3392	0.0303	1.3392	1.1572
No log	13.0	39	1.5911	0.1131	1.5911	1.2614
No log	14.0	42	1.6772	0.1234	1.6772	1.2951
No log	15.0	45	2.2763	0.0868	2.2763	1.5087
No log	16.0	48	1.5496	0.2354	1.5496	1.2448
No log	17.0	51	0.8989	0.4310	0.8989	0.9481
No log	18.0	54	0.6104	0.5566	0.6104	0.7813
No log	19.0	57	0.6249	0.5906	0.6249	0.7905
No log	20.0	60	0.7479	0.5807	0.7479	0.8648
No log	21.0	63	0.7864	0.6238	0.7864	0.8868
No log	22.0	66	0.6682	0.6328	0.6682	0.8175
No log	23.0	69	1.2511	0.4985	1.2511	1.1185
No log	24.0	72	0.7372	0.6144	0.7372	0.8586
No log	25.0	75	1.1894	0.5448	1.1894	1.0906
No log	26.0	78	0.6714	0.6390	0.6714	0.8194
No log	27.0	81	0.9302	0.5889	0.9302	0.9645
No log	28.0	84	0.6258	0.6529	0.6258	0.7911
No log	29.0	87	1.5744	0.4594	1.5744	1.2548
No log	30.0	90	1.3854	0.4893	1.3854	1.1770
No log	31.0	93	0.8526	0.5432	0.8526	0.9234
No log	32.0	96	0.6215	0.6302	0.6215	0.7883
No log	33.0	99	2.4947	0.3317	2.4947	1.5795
No log	34.0	102	2.5834	0.3083	2.5834	1.6073
No log	35.0	105	0.5971	0.5838	0.5971	0.7727
No log	36.0	108	0.5245	0.6472	0.5245	0.7242
No log	37.0	111	0.6682	0.6279	0.6682	0.8175
No log	38.0	114	1.1432	0.5317	1.1432	1.0692
No log	39.0	117	0.7463	0.6282	0.7463	0.8639
No log	40.0	120	0.7914	0.6259	0.7914	0.8896
No log	41.0	123	0.8305	0.6054	0.8305	0.9113
No log	42.0	126	0.7330	0.6038	0.7330	0.8561
No log	43.0	129	1.3017	0.4935	1.3017	1.1409
No log	44.0	132	1.0440	0.5593	1.0440	1.0218
No log	45.0	135	0.9670	0.5840	0.9670	0.9834
No log	46.0	138	1.1079	0.5486	1.1079	1.0526
No log	47.0	141	1.0294	0.5741	1.0294	1.0146
No log	48.0	144	0.7679	0.6463	0.7679	0.8763

Framework versions

Transformers 4.47.0
Pytorch 2.5.1+cu121
Datasets 3.3.1
Tokenizers 0.21.0

Task: Text Classification
Library: transformers
Type: bert
License: apache-2.0
Created: Mar 9, 2025
Updated: Mar 9, 2025